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Even though video surveillance systems have been a staple of the public and security sectors for decades, they continue to pique interest outside of those businesses.
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Applied Technology Review | Tuesday, December 21, 2021
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Surveillance systems are getting a digital brain so they can collaborate with the digital eyes.
FREMONT CA: Closed-circuit television (CCTV) systems are widely used in several settings, including public spaces, public infrastructure, commercial buildings, and more. They are typically employed for two purposes: real-time monitoring of physical assets and areas and reviewing gathered video data to identify security indicators and prepare security measures.
Even though video surveillance systems have been a staple of the public and security sectors for decades, they continue to pique interest outside of those businesses. This interest stems primarily from rising crime rates and security issues worldwide, which are propelling the video surveillance business forward. The video surveillance is predicted to reach 72.19 billion dollars by 2022. Recent advancements in IT technologies have also boosted video surveillance solutions' intelligence, scalability, and accuracy, expanding the market potential. Know below what drives the key video surveillance technology trends.
Modern Surveillance System
ML and deep learning are taking over technology, and they are here to stay. Security in AI is currently limited to CCTV auto-control; however, future devices will enable end-to-end data processing and AI application. Data will be analyzed on-site by future security surveillance systems, and such devices will reduce server costs while also improving functionality and efficiency. Digital devices are becoming more capable than ever for analytics due to the Internet of Things (IoT). The rise of 5G will provide quicker speeds and bandwidth to remote monitoring and increased security, flexibility, and response. Without a doubt, facial recognition and speech recognition will become more frequent in modern surveillance systems.
Artificial Intelligence (AI) and Machine Learning (ML)
ML and AL are not new terms that are revolutionizing various industries, including surveillance. Consider CCTV equipment as digital eyes that are either watching over people or, in most cases, watching out for everyone, owing to the integration of AI and ML technologies. Surveillance systems are getting a digital brain so they can collaborate with the digital eyes. AI assists in the analysis of live video from many video streams without the need for human interaction. It aids law enforcement in detecting crimes or unfortunate situations even before they occur. Alternately, ML improves the functionality of surveillance systems. Furthermore, it has become a necessary component of security equipment to monitor and protect environments from illegal entry.